Mathieu Acher
Professor at Institut Universitaire de France (IUF)
Rennes, Brittany, France
Summary
👤
Senior🎓
Top SchoolMathieu Acher is a Professor of Computer Science at INSA Rennes and a Junior Member of the Institut Universitaire de France, with over a decade of academic and research experience in variability engineering and software product lines. He earned his PhD on managing multiple feature models and has held positions from postdoc research in Belgium to associate professorship at Université de Rennes 1, combining deep theoretical foundations with practical model-driven engineering work. His research spans feature models, domain-specific languages, aspect-oriented modeling and reverse engineering, with applied projects in service-oriented architectures and adaptive systems. Mathieu regularly collaborates with Inria/IRISA and has a history of publishing in venues linked to software product lines and medical imaging grids, reflecting a strong interdisciplinary bent. Known for bridging formal modeling and real-world software variability, he brings both rigorous academic methodology and hands-on tool-building experience to teaching and research. Based in Rennes, France, he manages his GitHub presence actively (cc @acherm), signaling ongoing engagement with open research artifacts and code.
13 years of coding experience
11 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at Université Côte d'Azur
English
Github Skills (99)
gadget10
compile-time10
api10
binary-size10
compile10
build-environment10
predictor10
compilation10
surface10
modeling10
latex9
gnu9
scenarios9
canopen9
linux8
Programming languages (15)
Github contributions (5)
diverse-project/tuxart
Jul 2019 - Oct 2019
Tux generator for arbitrary linux kernel
Contributions:16 commits, 16 pushes, 3 issues in 3 months
kernellinux-kernellinuxarbitrary
FAMILIAR-project/AFM
Nov 2015 - Dec 2024
Contributions:1 push in 9 years 2 months
apiapi-modelexportersfeature-model
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.